Generalized backpropagation algorithm for training second‐order neural networks

The artificial neural network is a popular framework in machine learning. To empower individual neurons, we recently suggested that the current type of neurons could be upgraded to second‐order counterparts, in which the linear operation between inputs to a neuron and the associated weights is repla...

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Vydané v:	International journal for numerical methods in biomedical engineering Ročník 34; číslo 5; s. e2956 - n/a
Hlavní autori:	Fan, Fenglei, Cong, Wenxiang, Wang, Ge
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Wiley Subscription Services, Inc 01.05.2018
Predmet:	Algorithms artificial neural network Artificial neural networks Back propagation backpropagation (BP) Fuzzy Logic Learning algorithms Machine Learning Mathematical models Neural networks Neural Networks (Computer) Neurons second‐order neurons artificial neural network second-order neurons backpropagation (BP)
ISSN:	2040-7939, 2040-7947, 2040-7947
On-line prístup:	Získať plný text
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